﻿ Pandas: Create a bar plot of one column versus other columns - w3resource # Pandas: Create a bar plot of one column versus other columns

## Pandas: Plotting Exercise-4 with Solution

Write a Pandas program to create a bar plot of opening, closing stock prices of Alphabet Inc. between two specific dates.

Use the alphabet_stock_data.csv file to extract data.

alphabet_stock_data:

alphabet_stock_data Table

Date Open High Low Close Adj Close Volume
2020-04-01 1122 1129.689941 1097.449951 1105.619995 1105.619995 2343100
2020-04-02 1098.26001 1126.859985 1096.400024 1120.839966 1120.839966 1964900
2020-04-03 1119.015015 1123.540039 1079.810059 1097.880005 1097.880005 2313400
2020-04-06 1138 1194.660034 1130.939941 1186.920044 1186.920044 2664700
... ... ... ... ... ... ...
... ... ... ... ... ... ...
2020-09-29 1470.390015 1476.662964 1458.805054 1469.329956 1469.329956 978200
2020-09-30 1466.800049 1489.75 1459.880005 1469.599976 1469.599976 1700600

Sample Solution:

Python Code :

``````import pandas as pd
import matplotlib.pyplot as plt
start_date = pd.to_datetime('2020-4-1')
end_date = pd.to_datetime('2020-4-30')
df['Date'] = pd.to_datetime(df['Date'])
new_df = (df['Date']>= start_date) & (df['Date']<= end_date)
df1 = df.loc[new_df]
df2 = df1[['Date', 'Open', 'Close']]
df3 = df2.set_index('Date')
plt.figure(figsize=(20,20))
df3.plot(kind='bar');
plt.suptitle('Opening/Closing stock prices Alphabet Inc.,\n01-04-2020 to 30-04-2020', fontsize=12, color='black')
plt.show()
``````

Sample Output:

``` ```

Python Code Editor:

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## Python: Tips of the Day

How to sort a Python dict by value

Example:

```x1 = {'a': 5, 'b': 7, 'c': 9, 'd': 1}

sorted(x1.items(), key=lambda x: x)
[('d', 1), ('c', 9), ('b', 7), ('a', 5)]

# Or:

import operator
print(sorted(x1.items(), key=operator.itemgetter(1)))
```

Output:

```[('d', 1), ('a', 5), ('b', 7), ('c', 9)]
```