Loading the date¶
In [3]:
unrate = pd.read_csv("UNRATE.csv")
In [4]:
unrate.head()
Out[4]:
In [5]:
unrate.shape
Out[5]:
Convert data string to datetime object¶
In [7]:
unrate["DATE"].dtype
Out[7]:
In [8]:
unrate["DATE"] = pd.to_datetime(unrate["DATE"])
In [22]:
unrate["DATE"].dtype
Out[22]:
Plotting¶
In [13]:
x_values = unrate["DATE"].iloc[0:12]
In [15]:
y_values = unrate["VALUE"].iloc[0:12]
In [39]:
plt.plot(x_values,y_values)
Out[39]:
Fixing X-Axis Ticks¶
In [40]:
plt.plot(x_values,y_values)
plt.xticks(rotation = 90)
Out[40]:
Adding axis label and title¶
In [41]:
plt.plot(x_values,y_values)
plt.xticks(rotation = 90)
plt.xlabel("Month")
plt.ylabel("Unemployment Rate")
plt.title("Monthly Unemployment Trends, 1948")
Out[41]:
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