利用matplotlib和 pandas 制作分组图
问题描述
我有一个将图形绘制为花朵的代码
代码为
import matplotlib.pyplot as plt
import pandas as pd
years=["ASD","MNG","KQR","MND","QST", "MNR"]
dataavail={
"Jan":[20,20,30,19,10,21],
"Feb":[20,13,10,18,15,30],
"Mar":[20,20,10,15,18,30],
"Apr":[20,20,10,15,18,0],
"May":[20,20,10,15,18,0],
"Jun":[20,20,10,15,18,0],
"Jul":[20,20,10,15,18,0],
"Aug":[20,20,10,15,18,45],
"Sep":[20,20,10,15,18,0],
"Oct":[20,20,10,15,18,0],
"Nov":[20,20,10,15,18,0],
"Dec":[20,20,0,0,0,0],
}
df_month = pd.DataFrame(dataavail, index=years)
fig, ax1 = plt.subplots(1, figsize=(8, 5))
df_month.plot(kind='bar', stacked=True, colormap=plt.cm.tab20, ax=ax1)
plt.legend(loc="upper right", ncol = 3,handlelength=1.5, borderpad=0.2, labelspacing=0.2)
plt.xticks(rotation=0)
plt.show()
但是,我需要的不是堆叠图,而是GROUPBY图,如附图,其中x轴应该与第一个图相同。有人能在这方面帮我吗?
解决方案
iUC是否需要非堆叠条形图?
df_month.plot.bar()
输出:
使用您的代码:
您应该删除stacked=True
(或使用stacked=False
):
df_month = pd.DataFrame(dataavail, index=years)
fig, ax1 = plt.subplots(1, figsize=(8, 5))
df_month.plot(kind='bar', stacked=False, colormap=plt.cm.tab20, ax=ax1)
plt.legend(loc="upper right", ncol = 3,handlelength=1.5, borderpad=0.2, labelspacing=0.2)
plt.xticks(rotation=0)
plt.show()
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