[英]creating barplots using for loop using pandas/matplotlib
我有下面的代碼:
def OS_Usage_Zone_Wise(data,zone):
data_os = data['os'].value_counts().plot("bar",figsize=(12,4),fontsize=10)
data_os.set_title("OS usage in "+zone+" region",color='g',fontsize=20)
data_os.set_xlabel("OS name",color='b',fontsize=20)
data_os.set_ylabel("use count",color='b',fontsize=20)
zone = ["east","west","south","central"]
i = 0
data_os = [data_east,data_west,data_south,data_central]
for data in data_os:
OS_Usage_Zone_Wise(data,zone[i])
print("now "+zone[i])
i = i+1
我正在嘗試使用for循環繪制每個區域,但它顯示oly圖形
對於'中央'區域,我理解它顯示最后一個欄而不顯示
以前的那些,有沒有辦法用循環繪制所有區域的圖形(不要
想一次又一次地使用相同的代碼來生成圖形)
您可以使用matplotlib創建單獨的軸,然后在不同的軸上繪制每個直方圖。 以下是一些示例代碼:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Create some dummy data
data = pd.DataFrame()
zones = ["east","west","south","central"]
data['zone']=np.hstack([[zone]*np.random.randint(10,20) for zone in zones])
data['OS Usage']=np.random.random(data.shape[0])
# Now create a figure
fig, axes = plt.subplots(1,4, figsize=(12,3))
# Now plot each zone on a particular axis
for i, zone in enumerate(zones):
data.loc[data.zone==zone].hist(column='OS Usage',
bins=np.linspace(0,1,10),
ax=axes[i],
sharey=True)
axes[i].set_title('OS Usage in {0}'.format(zone))
axes[i].set_xlabel('Value')
axes[i].set_ylabel('Count')
fig.tight_layout()
fig.show()
其中產生如下圖:
筆記:
希望這可以幫助!
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