importing data from no flat files

Author: eltechno

File.HDF5-load.py

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+#HDF5
+#hierarchical Data Format Version 5
+
+import h5py
+filename = 'L-L1_LOSC_4_V1-1126259446-32.hdf5'
+data = h5py.File(filename, 'r') # r is to read
+print(type(data))
+
+for key in data.keys():
+    print(key)
+
+print(type(data['meta']))
+
+for key in data['meta'].keys():
+    print(key)
+
+print(data['meta']['Description'].value, data['meta']['Detector'].value)

File.sas7bdat.py

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+#sas and stata files
+# SAS statistical Analisys System
+
+# Stata: Statistic + data
+
+import pandas as pd
+from matplotlib import pyplot as plt
+
+from sas7bdat import SAS7BDAT
+with SAS7BDAT('sales.sas7bdat') as file:
+    df_sas = file.to_data_frame()
+
+print(df_sas.head())
+
+
+#plot histogram of dataframe features
+
+pd.DataFrame.hist(df_sas[['P']])
+plt.ylabel('count')
+plt.show()

File.stata-dta-files.py

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+import pandas as pd
+from matplotlib import pyplot as plt
+
+data = pd.read_stata('disarea.dta')
+print(data)
+
+
+# Print the head of the DataFrame df
+print(data.head())
+
+# Plot histogram of one column of the DataFrame
+pd.DataFrame.hist(data[['disa10']])
+plt.xlabel('Extent of disease')
+plt.ylabel('Number of countries')
+plt.show()