df.groupby('区域')['销售额'].sum().sort_values().plot.barh() # 条形图 使用plot.pie函数可...
sns.scatterplot(x="total_bill", y="tip", data=tips)plt.title('total bill vs tip')plt.show() 3. 探索性数据分析 (exploratory data analysis, eda) eda 是在没有明确假设的情况下使用图表和其他统计方法来了解数据的过程。 使用pandas 和matplotlib...
plt.plot(x, y) plt.title('Simple Line Plot') plt.xlabel('X Axis') plt.ylabel('Y Axis') plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 4. Seaborn进阶:美化你的图表 Seaborn建立在Matplotlib之上,专注于统计图表的绘制,并且默认具有更加美观的样式设置。 安装Seaborn: pip install seaborn...
Given the importance of visualization, this tutorial will describe how to plot data in Python using matplotlib. We’ll go through generating a scatter plot using a small set of data, adding information such as titles and legends to plots, and customizing plots by changing how plot points look....
# Some boilerplate to initialise things sns.set() plt.figure() # This is where the actual plot gets made ax= sns.barplot(data=df, x="year", y="seats", hue="party", palette=['blue','red','yellow','grey'], saturation=0.6) ...
首先介绍下bokeh bokeh擅长制作交互式图表，当然在地图展示方面也毫不逊色。Bokeh支持google地图、geojson...
ax = data.plot( column="childrenNum", scheme="QUANTILES",# 设置分层设色标准 edgecolor='lightgrey', k=7,# 分级数量 cmap="Blues", legend=True, # 通过fmt设置位数 legend_kwds={"loc":"center left","bbox_to_anchor": (1,0.5),"fmt":"{:.2f}"} ...
pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/a10.csv')# 序列中每个数据点与其在一定时间间隔(lag)后的数据点之间的相关性# Draw Plotplt.rcParams.update({'figure.figsize':(9,5), 'figure.dpi':120})autocorrelation_plot(df.value.tolist()) #绘制关于value列的自相关图...
data = gpd.read_file('https://geo.datav.aliyun.com/areas_v3/bound/510000_full.json').to_crs('EPSG:4573') data.head() 1. 2. 3. 简单分级统计 以下代码通过scheme分级统计四川省各地级市所包含区县数。 ax = data.plot( column="childrenNum", ...
sns.relplot(x='Date', y='Euro rate', data=usd, kind='line') Powered By Output: In this case, we passed in one more argument specific to the relplot() function: kind='line'. By default, this function creates a scatter plot. Customizing a single seaborn line plot We can customize ...