Data-Analysis-Jupyter/sentdex_data_analysis/pandas_IO.py

import pandas as pd

df = pd.read_csv("ZILL-Z77006_C.csv")  # reading in file
df.set_index("Date", inplace=True)  # setting index to date column

print(df.head())

# df.to_csv('ZILLOW_44106.csv')

df = pd.read_csv(
    "ZILLOW_44106.csv", index_col=0
)  # reading in file and setting index to the first column

print(df.head())

df.columns = ["Cleveland_HPI"]  # House Price Index # renaming the columns

# print(df.head())

# df.to_csv('ZILLOW_44106_Rev3.csv', header = False)

# reading in data, renaming columns, and setting index as first column
df = pd.read_csv("ZILLOW_44106_Rev3.csv", names=["Date", "Cleveland_HPI"], index_col=0)

# print(df.head())

df.to_html("example.html")  # to HTML (viewable in a web browser)

df = pd.read_csv(
    "ZILLOW_44106_Rev3.csv", names=["Date", "Cleveland_HPI"]
)  # reading in data and setting headers of columns
print(df.head())

df.rename(
    columns={"Cleveland_HPI": "Cleveland_44106_HPI"}, inplace=True
)  # renaming a column
df.rename(columns={"Cleveland_44106_HPI": "Cleveland_HPI"}, inplace=True)
df.set_index("Date", inplace=True)

print(df.head())