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First tests for dealing with data on Python with panda and numpy

main.py

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+import datetime, xlrd
+#import panda as pd
+import numpy as np
+import matplotlib.pyplot as plt
+
+file_location = "C:\\Users\\Tanguy\\Documents\\ABP private\\ryanair_fare_data.xlsx"
+print(file_location)
+workbook = xlrd.open_workbook(file_location)
+osheet = workbook.sheet_by_index(0)
+nsheet = osheet
+def xlToDate(xldate):
+    temp = datetime.datetime(1900, 1, 1)
+    delta = datetime.timedelta(days=xldate)
+    return temp + delta
+
+# def dateToXl(xldate):
+#     temp = dt.datetime.strptime('18990101', '%Y%m%d')
+#     delta = date1 - temp
+#     total_seconds = delta.days * 86400 + delta.seconds
+#     return total_seconds
+
+def toDate(a, b, c):
+    return datetime.datetime(a, b, c)
+
+def scatterplot(x_data, y_data, x_label="", y_label="", title="", color = "r", yscale_log=False):
+
+    # Create the plot object
+    _, ax = plt.subplots()
+
+    # Plot the data, set the size (s), color and transparency (alpha)
+    # of the points
+    ax.scatter(x_data, y_data, s = 10, color = color, alpha = 0.75)
+
+    if yscale_log == True:
+        ax.set_yscale('log')
+
+    # Label the axes and provide a title
+    ax.set_title(title)
+    ax.set_xlabel(x_label)
+    ax.set_ylabel(y_label)
+
+def lineplot(x_data, y_data, x_label="", y_label="", title=""):
+    # Create the plot object
+    _, ax = plt.subplots()
+
+    # Plot the best fit line, set the linewidth (lw), color and
+    # transparency (alpha) of the line
+    ax.plot(x_data, y_data, lw = 2, color = '#539caf', alpha = 1)
+
+    # Label the axes and provide a title
+    ax.set_title(title)
+    ax.set_xlabel(x_label)
+    ax.set_ylabel(y_label)
+
+cell = nsheet.cell(1,0).value
+
+print(toDate(1900, 1, 1))
+
+print(xlToDate(cell))
+
+if toDate(1900,1,1) > xlToDate(cell):
+    print(1)
+else:
+    print(0)
+column1 = []
+for i in range(0, nsheet.row_len(0)):
+    print(nsheet.col_values(i))
+
+   # column1.append(nsheet.cell(i, 2).value)
+
+print(nsheet.cell(1,2))
+time = nsheet.r_values(0)
+time.pop(0)
+time.pop(71)
+time.pop(71)
+for i in range(0, len(time)):
+    time[i] = xlToDate(time[i])
+# for i in range(1, nsheet.col_len(0)):
+#     time.append(xlToDate(nsheet.cell(i, 0)))
+value = nsheet.col_values(7)
+value.pop(0)
+value.pop(71)
+value.pop(71)
+for i in range(0, len(time)):
+    if value[i] is None:
+        value.pop(i)
+        time.pop(i)
+        i = i-1
+print(time)
+print(value)
+lineplot(time, value, 'time', 'value')
+plt.show()
+
+