pandas字體調整

#!/usr/bin/python
# -*- coding: <encoding name> -*-
import matplotlib.pyplot as plt
import pandas as pd  # data processing, CSV file I/O (e.g. pd.read_csv)
import pymssql  # 引入pymssql模塊
import seaborn as sns  # Provides a high level interface for drawing attractive and informative statistical graphics
from matplotlib.font_manager import FontProperties
from pylab import *
import matplotlib.pyplot as plt
import seaborn as sns

plt.rcParams['font.sans-serif'] = ['SimHei']
# Matplotlib中設置字體-黑體，解決Matplotlib中文亂碼問題
plt.rcParams['axes.unicode_minus'] = False
# 解決Matplotlib坐標軸負號'-'顯示為方塊的問題
sns.set(font='SimHei')
# Seaborn中設置字體-黑體，解決Seaborn中文亂碼問題
import warnings                                            # Ignore warning related to pandas_profiling
warnings.filterwarnings('ignore')

conn = pymssql.connect(host='localhost', user='wonderful', password='wonderful', database='ProcreateV93',charset='GBK')

sql = "select username,COUNT(DISTINCT o_id) AS Oidcount from Oplan GROUP BY username order by Oidcount desc "
df0 = pd.read_sql(sql, conn)
df = pd.DataFrame(df0)


#orient='h'表示是水平展示的，alpha表示顏色的深淺程度

#設置y軸、X軸的坐標名字與字體大小

ax=sns.barplot(x=df.username.values,y=df.Oidcount.values,palette=sns.color_palette('YlGn'))

# ax.set_xticklabels(rotation = 45,fontsize = 15) # 放大橫軸坐標並逆時針旋轉45°
# ax.set_yticklabels(labels = [0,500,1000,1500,2000,2500,3000,3500],fontsize = 15) # 放大縱軸坐標
plt.xlabel('醫生',fontsize=12)
plt.ylabel('患者數',fontsize=12)
# 調整x軸的字體
plt.xticks(size = 8)
# 調整y軸字體
plt.yticks(size = 10)
plt.rcParams['xtick.direction'] = 'out'
plt.rcParams['ytick.direction'] = 'inout'
plt.tight_layout()
#設置X軸的各列下標字體是水平的
# plt.xticks(rotation='horizontal')

#設置Y軸下標的字體大小

plt.show()