Pandas Datetime: Create a plot of distribution of UFO observation time

Pandas Datetime: Exercise-20 with Solution

Write a Pandas program to create a plot of distribution of UFO (unidentified flying object) observation time.

Sample Solution:

Python Code:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv(r'ufo.csv')
df['duration_sec'] = (df['length_of_encounter_seconds'].astype(float))/60
s = df["duration_sec"].quantile(0.95)
temp = df['duration_sec']
temp = temp.sort_values()
temp = temp[temp < s]
plt.figure(figsize=(10, 8))
sns.distplot(temp)
plt.xlabel('Duration(min)', fontsize=20)
plt.ylabel("Frequency", fontsize=15)
plt.xticks(fontsize=12)
plt.title("-Distribution of UFO obervation time-", fontsize=20)
plt.show()

Sample Output:

C:\Users\User\Anaconda3\lib\site-packages\scipy\stats\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval

Python Code Editor:

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