Question

我用python中的csv文件创建了一个熊猫数据框。如何在tkinter窗口中显示此数据框。

import pandas as pd
methods = pd.read_csv('metode.csv')
methods = methods.drop(methods.columns[[0]], axis=1)

Answer 1

这里是创建具有平方根的csv文件的示例；读取csv并将其绘制在tkinter中。要捕获matplotlib图，您必须使用FigureCanvasTkAgg并将mpl图与带有ax=tk_ax的tkinter图链接起来，如下例所示。

import pandas as pd
import tkinter as tk
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

# create the csv file with square roots
squareroots = [(i, i**0.5) for i in range(0, 100)]
squareroot_df = pd.DataFrame(squareroots, columns=['i', 'i^0.5'])
squareroot_df.to_csv('temp_squareroots.csv', index=False)

# set up the tkinter GUI
root = tk.Tk()
fig, tk_ax = plt.subplots(figsize=(10, 10))
mpl_plot = FigureCanvasTkAgg(fig, root)
mpl_plot.get_tk_widget().pack()

# read the csv file
square_roots_df = pd.read_csv('temp_squareroots.csv')

# plot the values in the data frame and invert the x-axis
mpl_ax = square_roots_df.plot(x='i', y='i^0.5', color='firebrick', ax=tk_ax)
mpl_ax.invert_xaxis()

root.mainloop()

在任何情况下，只需在matplotlib中进行绘图都容易得多：

import pandas as pd
import matplotlib.pyplot as plt

squareroots = [(i, i**0.5) for i in range(0, 100)]
squareroot_df = pd.DataFrame(squareroots, columns=['i', 'i^0.5'])
squareroot_df.to_csv('temp_squareroots.csv', index=False)

square_roots_df = pd.read_csv('temp_squareroots.csv')

ax = square_roots_df.plot(x='i', y='i^0.5', color='firebrick')
ax.invert_xaxis()

plt.show()

注意，我添加了mpl_ax.invert_xaxis()只是为了显示您可以调整操作mpl_ax对象的绘图。（请参见Matplotlib documentation)

如何在tkinter中显示熊猫数据仓库

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