13 oct data

This commit is contained in:
Pritimay Sarkar
2023-10-15 05:33:14 +05:30
parent 94e1a3157b
commit 594ee34c8f

View File

@@ -8,14 +8,43 @@ path_delim = '/'
df1 = pd.read_excel(curdir + path_delim + "data/users_13_10_2023_23_10.xlsx", sheet_name="Sheet1")
df2 = pd.read_excel(curdir + path_delim + "data/HC Data_results.xlsx", sheet_name="data")
df2.plot(kind = 'scatter', x = 'testTime', y = 'calculatedRatio')
plt.show()
df2 = df2.sort_values('testTime')
# df2.plot(kind = 'scatter', x = 'testTime', y = 'calculatedRatio')
# plt.show()
# df2.plot(kind = 'scatter', x = 'testTime', y = 'led1Buffer')
# plt.show()
# df2.plot(kind = 'scatter', x = 'testTime', y = 'led2Buffer')
# plt.show()
# df2.plot(kind = 'scatter', x = 'testTime', y = 'led1Sample')
# plt.show()
# df2.plot(kind = 'scatter', x = 'testTime', y = 'led2Sample')
# plt.show()
df = df1.merge(df2, on="_id", how="outer")
print(df.columns)
# # df = pd.concat([df1, df3], ignore_index=True)
df['Age'] = 2023 - df['birthYear']
# df['Age'].hist()
# plt.show()
# df['led2Sample'].plot.box()
# plt.show()
# df['led2Sample'].plot.kde()
# plt.show()
# df['led2Sample'].plot.density()
# plt.show()
df['category'].plot.pie()
plt.show()
df = df[["_id", "name_x", "abhaId", "aadharId", "Age", "gender", "category", "maritalStatus", "house", "district", "state", "pinCode", "phoneNumber", "classificationResult", "bloodGroup", "createdAt", "caste"]]
print(df)