使用Matplotlib和CSV的Pandas的Python图表并未显示所有X轴标签

发布于 2025-02-08 05:21:05 字数 458 浏览 3 评论 0原文

我必须从目录中的某个地方从CSV绘制数据。我正在通过在线学习一些样本来使用Python。问题是，我找不到任何解决方案来显示所有X轴标签。

import pandas as pd
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

pathcsv = r'D:\iPython\csvfile\samplecsv2.csv'
df = pd.read_csv(pathcsv)
df.set_index('Names').plot()

plt.show()

原文

I have to chart a data from csv somewhere from my directory. I am using python by learning some samples online. Problem is, I can't find any solution to show all x-axis labels.

x axis: Japan, maylay, sing, Thai, US

import pandas as pd
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

pathcsv = r'D:\iPython\csvfile\samplecsv2.csv'
df = pd.read_csv(pathcsv)
df.set_index('Names').plot()

plt.show()

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殤城〤 2025-02-15 05:21:05

您可以使用set_xticklabels设置名称和set_xticks来显示每个国家/地区的滴答作用。更新的代码如下...

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

pathcsv = r'D:\iPython\csvfile\samplecsv2.csv'
ax =df.set_index('Names').plot()
ax.set_xticks(np.arange(len(df))) #Show ticks for each country
ax.set_xticklabels(df.Names)      #Show labels as in df.Names
plt.show()

输出图

you can do that by using set_xticklabels to set the names and set_xticks to show ticks for each country. Updated code is below...

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

pathcsv = r'D:\iPython\csvfile\samplecsv2.csv'
ax =df.set_index('Names').plot()
ax.set_xticks(np.arange(len(df))) #Show ticks for each country
ax.set_xticklabels(df.Names)      #Show labels as in df.Names
plt.show()

Output graph