How to show percentage in pie chart pandas using matplotlib. I'm also using Jupyter Notebook to plot them.
I think its one solution is to avoid values with zero %age and second is to seprate labels to overlap (with some arrow etc. Syntax: matplotlib. Jan 17, 2018 · a = df. If you want to remove this tilt, then you can specify the line, plt. This is nice if you have data from 0. For example, let’s use the following data about the status of tasks: The most straightforward way to build a pie chart is to use the pie method. pie (data, explode=None, labels=None, colors=None, autopct=None, shadow=False) Example: Python3. Then sums them up using groupby. import numpy as np. df. autotexts: A list of Text instances for the numeric labels. Next, create some data to plot: x = np. DataFrame(data, columns=['mark', 'name', 'group', 'meeting', 'present']) I would like to get a pie graph for each group, where each person in it will be plotted his grades 'N' as a percentage of the rest of the grades. iloc[:,0], labels= df. from matplotlib. This function wraps matplotlib. In the inner circle, we'll treat each number as belonging to its own group. 14. Mar 29, 2022 · 1. I would like to only plot the top 10 countries by values (by highest %) and within the plot, calculate the remaining countries % value and give it May 8, 2021 · Create random colors using hexadecimal alphabets, in the range of 20. figure(0) # Create first chart here. The label inside the plot was a result of radius=1. Customize labels, explode, and other parameters as needed. 3. head (8) instead of table. Series. 5, 1) together with the location "center left" ; i. As you can see, the sectors kitchen & entertainment are very small. Mar 14, 2019 · I have a pie chart that looks like: I tried increasing the font size using textprops={'fontsize': 18}). I am able to do this in a count plot but unable to do it in a pie chart - COUNT PLOT: sns. Here's an example of how to do it: First, import the necessary libraries: import matplotlib. Sep 6, 2022 · I am looking to plot this in a pie chart showing 60% of loan status is fully paid while 40% is defaulted. 5, 1) in axes coordinates. Apr 4, 2020 · This article provides examples about plotting pie chart using pandas. show() The other option is to plot the pie charts individually by looping over the columns. Use pie() method to plot a pie chart with slices, colors, and slices data points as a label. This produces the following pie chart shown below. Plot the DataFrame directly with pandas. ). Just do PercentFormatter(1. Jul 18, 2016 · Use this if you want to create quicker arrangements of subplots. Python3. For drawing the pie-chart, I use the below code: import matplotlib. 2f' % pct) if pct > 20 else '' Plot with matplotlib. Customizing a pie chart created with px. To specify fractions direction of the pie chart, you must set the counterclock parameter to True or False (value is True by default). figure(1) # Create second chart here. show() This answer was posted as an edit to the question How to create a pie chart using matplotlib from csv by the OP plshelpme_ under CC BY-SA 4. Make a pie chart of array x. pyplot as plt import pandas as pd s = pd. argsort()] # Draw the bar chart. Python’s popular data analysis library, pandas, provides several different options for visualizing your data with . text() function: This functio Sep 23, 2021 · I was trying to create a pie chart with percentages next to the graph. bar() for container in ax. Jan 23, 2023 · by Zach Bobbitt January 23, 2023. We’ll use the for loop to iterate rows and create a pie chart for each of them. Feb 17, 2021 · 2. plot() method, we use the . There are a couple of ways you can change the font size of the labels. pyplot. pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0. With this class you can do as follows to set the axis: import matplotlib. Prerequisites. colors. The fractional area of each wedge is given by x/sum(x). Label or position of the column to plot. plot(kind='pie', subplots=True, figsize=(6, 4)) My dataframe consists of two columns - Country and Value (% distribution) and has about 25 countries listed. bar_label, which is thoroughly described in How to add value labels on a bar chart. pie() method. eg. my_column. This post is based on our previous work on Matplotlib custom SI-prefix unit tick formatter: Note that for pandas, you need to first call df. Jul 19, 2015 · Say you start with: import pandas as pd from matplotlib. Even if you’re at the beginning of your pandas journey, you’ll soon be creating basic plots Mar 21, 2024 · The dataset used in the following examples is shown below : Procedure: The procedure to draw Stacked Percentage Bar Chart is the following steps which are described below with examples : 1. sum()/100), startangle=90) Dec 14, 2020 · The matplotlib. Jul 17, 2019 · pie chart show percentage of specific values. . May 16, 2023 · To add percentages in a pie chart in Python, you can use the Matplotlib library. Where to go next#. DataFrame({. You can plot a pie chart in matplotlib using the pyplot’s pie() function. You can take whatever cutoff point you want. In df["house_electricity"], there are values like 1,0 or blank/NA. colors) plt Apr 14, 2024 · 1. Example 1: Using matplotlib. However, it only changes the font-size of the percentage labels inside pie, and the labels outside remain un-affected. 0). Jun 26, 2020 · amount_of_TP_ner_tags # this is the dictionary I want to plot. colors = ['#99f3bd', '#fbaccc', '#a8df65', '#ff7b54'] Jan 26, 2023 · I'm creating a pie-chart according to the matplotlib-demo: To show both percentage and total: Pandas pie plot actual values for multiple graphs. pie (subplots=True, labeldistance=None, legend=True) From the docs: labeldistance: float or None, optional, default: 1. Jul 20, 2021 · The following examples show how to use this syntax in practice. value_counts(dropna=True) plt. bar_label method. 1. In matplotlib, the pie () function is used to create a pie chart. 00 maps to 100%. Series(browser2) y = pd. Jul 4, 2021 · In this article, we are going to see how to display the value of each bar in a bar chart using Matplotlib. You can use one of the following methods to plot the values produced by the value_counts() function: Method 1: Plot Value Counts in Descending Order. 0f}'. fig. x: the number of occurrences for each label. format(x*values. pie() for the specified column. pie(data, explode=None, labels=None, colors=None, autopct=None, shadow=False Jan 5, 2020 · In addition to the basic pie chart, this demo shows a few optional features: Note about the custom start angle: The default startangle is 0, which would start the "Frogs" slice on the positive x-axis. So you only would need to provide a function that returns an empty string for the values you want to omit the percentage. In our example, it’ll be the age groups. Jan 10, 2024 · Q. read_csv('clean_soccer. The first thing you need is to import the Matplotlib and other relevant libraries like Pandas, Numpy and their sub modules. plot() and call set_major_formatter() after that! df. My code: Jul 24, 2022 · Let's explore how to use Matplotlib function pie() to draw pie charts with customized colors, text, and percent labels. e. show(). Let's make the pie a bit bigger just by increasing figsize and also use the autopct argument to show the percent value inside each piece of the pie. Apr 22, 2021 · Reformed 2. Draw a stacked bar chart using data (dataset, dictionary, etc. # The slices will be ordered and plotted counter-clockwise. pie Sep 30, 2022 · Pie Chart. ) Step 2: Gather the Data for the Pie Chart. Then how a pie chart can be formed for say 1st row values ie values 123456,98765in pandas ?. pie () functions return a pie chart plot in Python. linspace(0, 10, 100) y = np. wedgeprops=dict (width=. If you're looking to plot a piechart from a DataFrame, and want to display the actual values instead of percentages, you could reformat autopct like so: values=df['your_column']. pie(df. Check out Plot types to get an overview of the types of plots you can create with Matplotlib. Shadow. pie(sizes, labels=labels) Each slice of the pie chart is a patches. Jan 13, 2020 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. The dataframe that I am working off of contains percentages the correspond to each of the pie chart sections. pie returns the wedges and lists of text objects for the labels and the percentages. I have to plot pie-chart and a table side by side using matplotlib. pie(sizes, colors=colors, startangle=-270) with: patches, texts = plt. The only real pandas call we’re making here is ma. plot(). fig, ax = plt. I would like to display those percentages as data labels rather than the percent values of the totals of Nov 8, 2013 · Maybe add these information to the legend. Import necessary libraries: import pandas as pd and import matplotlib. Dec 26, 2021 · The area of the slices is equal to the percentage of the parts of the data. items()] x = pd. pie keyword labeldistance to remove the wedge labels. Mar 3, 2021 · The following code is for creating a pie chart that shows the number of purchases made by each person from the "Shipping Address Name" column. 6, which causes the percentage values to be inside the pie. colors=[colours[key] for key in labels]) ax[1]. The chart's plotting can be aided by using the code template below: The full code for our example would seem as follows: Output: Step 3: Design the Chart The pie chart can be further customized by including: Start angle. It can be created using the pie() method. Parameters: yint or label, optional. If no column reference is passed and subplots=True a pie plot is drawn for each numerical column independently. Q. Matplotlib’s function pie() needs only two parameters to draw a pie chart: labels: the categorical labels. Using plt. For example, the population corresponding to each age group. Apr 24, 2023 · In this article, I'll show you how to create a bar chart, a pie chart, and a line plot to explain how you can do data visualization using Matplotlib. yaxis. pie(x) function that makes a pie chart of array x, corresponding to the wedge sizes . pie() plt. If you want the percentages in each wedge, then use the autopct keyword argument when calling the pie () function. You need to craft a new dataframe. DataFrame({ 'Sex': ['female', 'male', 'female'], 'Smoke': [1, 1, 1]}) Feb 2, 2018 · I have created a matplotlib pie chart: df. Parameters: x1D array-like. Example 1: Pie Chart with Pastel Seaborn Color Palette. df=pd. Next, use Matplotlib to plot the pie chart. df_grouped. sort_values(x) z = pd. sum() This sets the product name column as index of the df so change your product_data column selection to this: Feb 8, 2023 · I have a dataframe df, which has many columns. bar_label; Modified from this answer, which has a different calculation, and a different label format. Here’s an example adapted from the matplotlib gallery: shadow=True, startangle=90) ax1. pyplot as plt import numpy as np. update_traces to set other parameters of the chart (you can also use fig. To display the figure, use show() method. ¶. The area of slices of the pie represents the percentage of the parts of the data. Creating a pie chart is very similar to creating a line chart, only instead of using the . The following is the syntax: import matplotlib. The wedges are plotted counterclockwise, by default starting from the x-axis. pie(s, colors=plt. pie() method, we can create a pie chart with the given different data sets for different activities. groupby(["Product Name;"]). so you have to do that first: df = df. Jun 20, 2020 · I have to plot pie chart with %age values, I am facing a problem that some value are very small and their %age is about zero, when I plot using matplotlib in python, therir labels overlab and they are not readable. I'm also using Jupyter Notebook to plot them. value_counts(). show() function. pie: df. plot(kind='pie', ). PercentFormatter(5. Use legend() method to avoid overlapping of labels and autopct. Provide details and share your research! But avoid …. Pie Chart is a great way of representing data which is a part of a whole. set_index('activity', inplace=True) print(df) # hours. update Jul 16, 2019 · You can either: 1. R doesn't display percentages when trying to build a pie chart. How do you plot a pie chart? Use Matplotlib’s pie() function, passing data, labels, and other optional parameters to create a pie chart in Python. I am surprised that I have not found a duplicate for this presumably common question. Customize data labels in May 19, 2021 · According to the docs pctdistance controls the "ratio between the center of each pie slice and the start of the text generated by autopct", and it has a default value of 0. EventLogs. How can I do this without radically modifying the code that I used to generate the graph? Matplotlib uses the default color cycler to color each wedge and automatically orders the wedges and plots them counter-clockwise. set_facecolor('lightgrey') or. There are several ways to do this, and the simplest is to use multiple figure numbers. return a. ax. The slices of pie are called wedges. pie(y='column_name') Example: import pandas as pd. Jan 30, 2022 · This post shows how to easily plot this dataset with an y axis formatted as percent. char. Dec 2, 2015 · The autopct argument from pie can be a callable, which will receive the current percentage. #corresponding color-label pairs. Add the following at the top of your script: import matplotlib as mpl mpl. The total value of the pie is always 100 percent. DataFrame(y) fig, axes = plt. This article will introduce how the Python Pandas library creates a pie chart using a dataframe. 6, shadow=False, Jul 12, 2021 · Customize data labels in pandas pie chart. assign the labels in a variable named legend and use it later). plot function. For further tuning, we call fig. value_counts(sort=False). pyplot as plt. value_counts with pandas. And then remove the percentage text objects. Make a list of labels (those are overlapped using autopct). pie(x, labels) Sep 8, 2022 · Even though a pie chart has some drawbacks, as previously mentioned, we can not deny that it is easy to understand. rcParams['font. desired_colormap_name. cm. As you can see the pie chart draws one piece (called a wedge) for each value in the array (in this case [35, 25, 25, 15]). I want to increase fontsize of labels A, B,C etc in above pie chart. xaxis. set_major_formatter(mtick. The resulting pie will have an empty wedge of size 1 - sum(x). df_result2 is a table with the list of Plot a pie chart of animals and label the slices. I've looked into matplotlib and bokeh, but the most similar thing I've found so far is the bokeh Donut chart example, using a deprecated chart, which I don't know how to extrapolate for more than 2 levels. If your readers are not accustomed to complex charts, a pie chart is still a good option to communicate the information. Next, gather the data for the pie chart. subplots(nrows=1, ncols=2 Pass a function or format string to autopct to label slices. If you want a specific order in the pie plot, you have to sort the pandas series generated by your value counts: import matplotlib. Data and Imports import pandas as pd # load the dataframe from the OP and set the x-axis column as the index df = df. plot. 0. 5 Jun 24, 2015 · You could also use countplot from seaborn. iloc[key. axes. Alternatively you can put the legends beside the pie graph: import matplotlib. . Putting it all together (besides the special chars - I had some problems activating TeX), try the following code: # -*- coding: UTF-8 -*-. xmax allows you to set the value that corresponds to 100% on the axis. pie(subplots=True, figsize=(12, 6),autopct=absolute_value) plt. groupby ([' team ']). This package builds on pandas to create a high level plotting interface. This calls plt. In the example below, we first create a pie chart with px,pie, using some of its options such as hover_data (which columns should appear in the hover) or labels (renaming column names). If you have lots of categories it can be cumbersome to manually set a colour for each category Oct 10, 2020 · df = pd. value_counts (). ticker as mtick # Actual plotting code omitted ax. , sleeping, eating, working, and playing. The DataFrame has 9 records: Jan 24, 2021 · For data distribution. How do you show values in a pie chart in (Source code, 2x. containers: ax. plot() Aug 4, 2016 · Edit 1. size'] = 9. countplot(x="LoanStatus",data=df) EXPECTED: A pie chart showing how many values are there with both the loan status along with the percentage. DataFrame. legend() and display the plot with plt. We’ll iterate only 8 rows in this example so we’re using table. Aug 24, 2021 · legend=True adds the legend; title='Air Termination System' puts a title at the top ylabel='' removes 'Air Termination System' from inside the plot. This will only be returned if the parameter autopct is None. If you're looking for a percentage instead of the actual value you can use this parameter df["department"]. pyplot import pie, axis, show df = pd. 1f%%') By default, the label values are obtained from the percent size of the slice. set_index('Airport') # calculate the percent for each row per = df. index. Nov 28, 2022 · You can use the value_counts() function in pandas to count the occurrences of values in a given column of a DataFrame. Jul 11, 2015 · ax. Nov 26, 2020 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Jul 26, 2018 · This is more easily implemented with matplotlib. plot (kind=' bar ') Jan 18, 2022 · 1. Asking for help, clarification, or responding to other answers. Pastel2. gca(). 0. The following code shows how to create a pie chart using the ‘pastel‘ Seaborn color palette: Dec 23, 2021 · Creating Pie Charts with Python Matplotlib. You could loop through the labels and percentages, and append the percentage text to the label text. Here we use the axes coordinates (1, 0, 0. You can retrieve color codes from some matplotlib colormaps using plt. pie: "Sales", "Sales", "Technology"]}) Output: Just to add to @Chris answer. By default the plotting of the first wedge starts from the x-axis and moves counterclockwise: Note: The size of each wedge is determined by comparing the value with all the other values, by using this formula: Sep 1, 2016 · #df is dataframe with 6 rows, with each row index being the label of the sector plt. Series([1,2,3,4,5]) plt. g. After that you can just use your regular pie chart code. For example: import matplotlib. May 12, 2020 · But for some really low percentages the the slices and percentages prints are way too small to see, because they overlap with the other really small percentages. Jun 13, 2021 · I encourage you to checkout the matplotlib documentation for pie charts There’s an ax. To plot a pie chart pie () function will be used. Knowing your audience is a must. Whether you’re just getting to know a dataset or preparing to publish your findings, visualization is an essential tool. This is shown in this example and explained in the documentation. change the textprops color to something different: textprops={'color':"blue", 'size': 10, 'weight':'bold'} You can easily manage the font size, style and color using the textprops argument in the ax. As a title, I would like the name of the group, and each has pie plot the name of the person, and inside the graph Jan 5, 2020 · matplotlib. Add a legend using plt. plot(kind='bar', x='day') And now, we use the same ordering technique to order the rows of the pivot table (instead of the rows created by groupby). Jul 24, 2022 · Let’s draw our first pie chart to do that. update({key : val[0]}) for key, val in amount_of_TP_ner_tags. You can use the following basic syntax to display percentages on the y-axis of a pandas histogram: import pandas as pd. array(['Jan','Feb','Mar','Apr','May','Jun May 6, 2015 · Using pandas you can still use the matplotlib. #create histogram, using percentages instead of counts. subplots() ax. Example Sep 25, 2022 · Step 2: Utilize Matplotlib to plot the pie chart. Axes. I tried codes which are given on internet as: Sep 10, 2022 · I currently made a bar chart using a dataframe that labels the bars with their values, which outputs this: ax = df. Jan 5, 2022 · When not plotting straight from pandas, pie uses the colors argument, which takes a list of color codes. legend() labels argument (e. DataFrame({'activity': ['Work', 'Sleep', 'Play'], 'hours': [8, 10, 6]}) df. Plot a pie chart. Matplotlib is a powerful visualization library in python and comes up with a number of different charting options. Draw pie charts with a legend. We can use the following arguments to customize the appearance of the pie chart: autopct: Display percentages in pie chart A pie plot is a proportional representation of the numerical data in a column. import pandas as pd. plot() internally, so to integrate the object-oriented approach, we need to get an explicit reference to the current Axes with ax = plt. 0)) This will display values from 0 to 5 on a scale of 0% to 100%. The 'labels' list contains the name of each person and the 'purchases' list contain the number of purchases each person has made. div(df By default, matplotlib creates pie charts with a tilt. 0 to 1. axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle. This overwrites the apple and banana values with vegetable. For your need, you must replace: patches, texts = plt. Simply tell matplotlib that you are working on separate figures, and then show them simultaneously: import matplotlib. explodearray-like, default: None. pie(<actual_values>, colors = colors, autopct= lambda x: '{:. You'll learn to use parameters such as autopct, textprops, colors, startangle, counterclock, labeldistance, pctdistance, shadow, and explode. The syntax is given below: matplotlib. Function; def my_autopct(pct): return ('%. Mar 21, 2022 · To plot a pie chart from a dataframe df you can use Panda's plot. import matplotlib. png, png) If a plot does not show up please check Troubleshooting. Feb 2, 2024 · A pie chart requires a list of categories and numerical variables. If sum(x) < 1, then the values of x give the fractional area directly and the array will not be normalized. change the plot background color to a different color. The data I'm going to use is the same as the other article Pandas DataFrame Plot - Bar Chart. Jun 16, 2022 · 1. You can use pandas. We can use the legend's bbox_to_anchor argument to position the legend outside of the pie. 1. If this does not work well, another option is to add a Matplotlib maintains a handy visual reference guide to ColorMaps in its docs. value_counts(normalize=True). Wedge object; therefore in addition to Nov 4, 2021 · I picked an arbitrary cutoff point of 20. May 24, 2019 · The pie chart does not 'know' that you want all items with same product name grouped and summed over in your chart. We can extract the appropriate labels from the MultiIndex with its get_level_values() method: inner_labels = inner. Oct 10, 2014 · This is a few months late, but I have created PR#6251 with matplotlib to add a new PercentFormatter class. get_level_values(1) Now you can turn the above values into one-dimensional arrays and plug them into your plot calls: import matplotlib. I want to plot the column in terms of a pie chart, where percentage of only 1 and 0 will be shown. In this section, we’ll apply what you learned in the previous sections to create and style a pie chart. If not None, is a len(x) array which specifies the fraction of the radius with which 3. 5) would create donuts (pie charts with holes in the center). # Create dataframe. We can make an interactive pie chart to improve a typical one. How do I show percentages in a pie chart using matplotlib? Utilize the autopct parameter in the pie() function to display percentages on the wedges. sum (). plot (kind=' pie ', y=' points ') Example 2: Create Custom Pie Chart. index) #plot the first column of dataframe as a pie chart It generates a pie chart like this: Pie Chart with the 6 sectors. Assuming your counts are sorted in descending order (if not, use df. 2. iloc[:, :-1]. pyplot as plt import numpy as np x = np. pyplot as plt import csv df = pd. text() function. We then show the plot using the plt. Sep 24, 2021 · We can use the following syntax to create a pie chart that displays the portion of total points scored by each team: df. We'll first generate some fake data, corresponding to three groups. Similarly I want to plot another pie chart where percentage of 1,0 and blank/N. axis('equal') This gets rid of the tilt from the pie chart. We will assume that 1. Matplotlib will expect a series of data that it should plot. PercentFormatter()) PercentFormatter() accepts three arguments, xmax, decimals, symbol. Prepare your data in a pandas DataFrame. Nov 14, 2021 · 6. pie(sizes[1:], labels=labels[1:], colors=[colours[key] for key in labels[1:]]) This works to create the plot: Here we see that the labels are represented by the same colours across both plots, as desired. plot and kind='bar' See this answer for more documentation and examples using the . iloc[i[0]%len(df),i[0]//len(df)] i[0] += 1. 4. The wedge sizes. There are two different ways to display the values of each bar in a bar chart in matplotlib - Using matplotlib. 0 and you want to display it from 0% to 100%. Pie chart is a circular chart used to display only one series of data. Steps to customize pie plot. Plot the pie chart using df. pie(sizes, labels=labels, autopct='%1. The radial distance at which the pie labels are drawn. bar_label(container) I would like to format the values as percentages. I am trying to create a python pie chart from a dataframe with customized data labels. Override Matplotlib pie chart percentage labels to a specific value that doesn't sum to 100%. Use matplotlib. see above # dont use values inside a list as column values for a dataframe browser2 = {} [browser2. the left central point of the legend will be at the left central point of the bounding box, spanning from (1, 0) to (1. df = pd. autopct: [ None | format string | format function ] If not None, is a string or function used to label the wedges with their numeric value. Basic Pie Chart. plt. pie. It gives you good styling and correct axis labels for free. ticker import PercentFormatter. The wedges of the Pie chart is returned as: patches: A sequence/ list of patches wedge instances texts: A list of the label Text instances. How can I fix this so that the percentages are visible? You can use the pctdistance and labeldistance attributes in ax. A all will be there. In the outer circle, we'll plot them as members of their Oct 18, 2015 · This example shows a basic pie chart with labels optional features, like autolabeling the percentage, offsetting a slice with "explode", adding a shadow, and changing the starting angle. Oct 8, 2015 · disk usage chart. From matplotlib 3. Create a Simple Pie Chart Using Pandas DataFrame Oct 26, 2021 · In this article, we can create a pie chart to show our daily activities, i. In addition to hashcode55's code: When you want to avoid making multiple DataFrames, I recommend to assign integers to your feature-column and iterate through those. show() For drawing a table, I use the below code: %%chart table --fields MachineName --data df_result2. sin(x) Then, create a pie chart using the pie function: May 15, 2019 · import pandas as pd import matplotlib. matplotlib - pie Jul 25, 2018 · If the data is like: one two 123456 98765 456767 45678 123454 87654. To add labels, pass a list of labels to the labels parameter. 2, use matplotlib. pie(sizes, counterclock=False, colors=colors, startangle=-270) answered Feb 6, 2018 May 12, 2021 · You can store the index and values of your df2 in string format and use it as your plt. pyplot as plt labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' sizes = [15, 30, 45, 10] fig, ax = plt. pie() function. In this case, pie takes values corresponding to counts in a group. 0 df_grouped = df_grouped. csv') df['sentiment']. df1. You can dynamically changet the rc settings. This example sets startangle = 90 such that everything is rotated counter-clockwise by 90 degrees, and the frog slice starts on the positive y-axis. sort_values(by='Count', inplace=True) ): ignore_index=True) Example (N=10, N=5): Percentages in the legend: output: Thank you. xe ly fn al vf kv ce ft sx qi
