pandas practice code

pandprac.py

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+from cmath import nan
+import pandas as pd
+import numpy as np
+import lxml
+
+roll=[1,2,3,4,5,6]
+x=pd.DataFrame({"X":[12,34,0,35,65,20], "Y":[0,24,67,87,nan,43], "Z":[23,45,65,0,48,11]}, index=roll)
+t=pd.DataFrame({"X":[12,64,0,35,21,20], "Y":[0,24,67,4,67,43], "Z":[23,3,65,0,58,17]}, index=roll)
+
+
+#puts the mean of other values in the place of the null value
+print(x.fillna(x.mean()),"\n")
+
+#prints the second row of the dataframe, that is 1,:
+print(x.iloc[1,:],"\n")
+
+#convert datatype of elements
+print(x.astype(float),"\n")
+
+#rename column name
+print(x.rename(columns={"X":"1st column"}),"\n")
+
+#change index
+print(x.rename(index= lambda roll:roll+1),"\n")
+
+#sorting values in y column in the ascending order
+print(x.sort_values("Y"),"\n")
+
+#appending one df to the end of another, provided both have some number of columns
+print(x.append(t),"\n")
+
+# .apply used to apply the numpy max function on each row(axis=1) of the dataframe
+print(x.apply(np.max,axis=1),"\n")
+
+#prints correlation between columns 
+print(x.corr(),"\n")
+
+#bellow comment is forbidden as host refuses to authorize access
+#pd.read_html("https://www.w3resource.com/python-exercises/pandas/index.php")
+
+
+