To Develop a python program to Plot a time series data (population/ market price of a commodity /temperature).
- Import the required packages like pandas and matplot
- Read the dataset using the pandas
- Calculate the mean for the respective column.
- Plot the data according to need and can be altered monthly, or yearly.
- Display the graph.
import matplotlib.pyplot as plt
import pandas as pd
df=pd.read_csv("POPTHM.csv",parse_dates=["DATE"],index_col="DATE")
df.head()
df_filtered = df["2000":"2023"]
annual_mean = df_filtered.resample('Y').mean()
mean = annual_mean.plot(kind='line')
plt.xlabel("Year")
plt.ylabel("Population (in Thousands)")
plt.title("Average Annual Population (2000-2023)")
plt.show()import matplotlib.pyplot as plt
import pandas as pd
df=pd.read_csv("trainset.csv",parse_dates=["Date"],index_col="Date")
df.head()
df.Close.resample('M').mean()
mean=df.Close.resample('M').mean().plot(kind='line')
plt.xlabel("Month")
plt.ylabel("Price")
plt.show()
mean=df.Close.resample('Y').mean().plot(kind='line')
plt.xlabel("Year")
plt.ylabel("Price")
plt.show()import matplotlib.pyplot as plt
import pandas as pd
df=pd.read_csv("DailyDelhiClimateTrain.csv",parse_dates=["date"],index_col="date")
df.head()
mean=df["meantemp"].resample('M').mean().plot(kind='line')
plt.xlabel("Month")
plt.ylabel("Temperature")
plt.show()
Thus we have created the Python code for plotting the time series of given data.
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