- klib.missingval_plot(df) # returns a figure containing information about missing values # klib.clean - functions for cleaning datasets - klib.data_cleaning(df) # performs datacleaning (drop duplicates & empty rows/cols, adjust dtypes,...) - klib.clean_colum...
AI代码解释 df=pd.DataFrame(data)# klib.describe-functionsforvisualizing datasets-klib.cat_plot(df)# returns a visualizationofthe number and frequencyofcategorical features-klib.corr_mat(df)# returns a color-encoded correlation matrix-klib.corr_plot(df)# returns a color-encoded heatmap,idealforcorr...
# klib.clean - functions for cleaning datasets - klib.data_cleaning(df) # performs datacleaning (drop duplicates & empty rows/cols, adjust dtypes,...) - klib.clean_column_names(df) # cleans and standardizes column names, also called inside data_cleaning() - klib.convert_datatypes(df) # ...
- klib.missingval_plot(df) # returns a figure containing information about missing values # klib.clean - functions for cleaning datasets - klib.data_cleaning(df) # performs datacleaning (drop duplicates & empty rows/cols, adjust dtypes,...) - klib.clean_column_names(df) # cleans and stand...
# klib.describe - functions for visualizing datasets - klib.cat_plot(df) # returns a visualization of the number and frequency of categorical features - klib.corr_mat(df) # returns a color-encoded correlation matrix - klib.corr_plot(df) # returns a color-encoded heatmap, ideal for correlat...
For example,NumPyis a library supporting large multi-dimensional arrays and matrices, along with functions that operate on them. Similarly,Pandasis a Python library for data structures such as tables and time series, plus the operations that manipulate them. Once users have their data in the form...
indent_code('functions.py','indented_functions.py',indent_size=4) 1. 执行完上面的代码后,我们会得到一个名为indented_functions.py的文件,内容如下: defadd(a,b):returna+bdefsubtract(a,b):returna-bdefmultiply(a,b):returna*b 1.
action in everything from real-time chat functions on e-commerce sites to code generation in ...
df = pd.DataFrame(data)# klib.describe - functions for visualizing datasets-klib.cat_plot(df)# returns a visualization of the number and frequency of categorical features-klib.corr_mat(df)# returns a color-encoded correlation matrix-klib.corr_plot(df)# returns a color-encoded heatmap, ideal...
# klib.describe - functions for visualizing datasets - klib.cat_plot(df) # returns a visualization of the number and frequency of categorical features - klib.corr_mat(df) # returns a color-encoded correlation matrix - klib.corr_plot(df) # returns a color-encoded heatmap, ideal for correlat...