Visualization (pandas)

25 Dec 2023 in Study / Computer science on Pandas

pandas

• Visualization of data using the tools of pandas
• If we wanna make more complex graph, use seaborn & matplotlib
• Use df.plot()

Kind

• df.plot(kind=’line’) : line graph
• df.plot(kind=’bar’) : bar graph
• df.plot(kind=’barh’) : horizontal bar graph
• df.plot(kind=’his’) : histogram
• df.plot(kind=’box’) : box plot
• df.plot(kind=’kde’) : kernel density graph
• df.plot(kind=’area’) : area graph
• df.plot(kind=’pie’) : pie graph
• df.plot(kind=’scatter’) : scatter graph
• df.plot(kind=’hexbin’) : hexbin plot

Line, Bar Graph

• index of dataframe → x axis
• value of dataframe → y axis
• column of dataframe → graph name (number of columns = number of graph)
• Line
  • df.plot() or df.plot(kind=’line’)
• Bar
  • df.plot(kind=’bar’)

Histogram

• index of dataframe → element participating in counting frequency
• value of dataframe → x axis
• column of dataframe → graph name (number of columns = number of graph)
• df.plot(kind=’hist’)

Scatter Graph

• One column of dataframe : x axis title
• another column of dataframe : y axis title
• df.plot(x=’c1’, y=’c2’, kind=’scatter’)

Box Plot

• df.plot(kind=’box’)
  • Box plot for each column (column name = x axis)
  • value of dataframe → y axis

Extra Knowledge

• wanna change dtypes of indexes or columns (usually change number object to numerical dtypes)
  • df.index = df.index.map(A dtypes)
    • dtypes of index changes to A dtypes
    • example: df.index = df.index.map(int)
  • df.columns = df.columns.map(A dtypes)
    • dtypes of column changes to A dtypes