mayureshshilotri / 26-weeks-of-data-science Goto Github PK

Problem statement says : Create a graph for y = sin(x). X values should be from 0 to 10, incrementing in steps of 0.1

Solution provided for this in Week 6 is
def sine_wave():
'''Write your code here'''
series = np.linspace(-np.pi,(np.pi)+1)
sne = np.sin(series)
plt.plot(sne)
plt.xlabel('X')
plt.ylabel('Y')
plt.title('sin x')
plt.show();
sine_wave()

What about the below solution -
def sine_wave():
'''Write your code here'''
series = np.arange(10, step=0.1)
sne = np.sin(series)
plt.plot(sne)
plt.xlabel('X')
plt.ylabel('Y')
plt.title('sin x')
plt.show();
sine_wave()

Why series = np.linspace(-np.pi,(np.pi)+1) is like this instead of series = np.arange(10, step=0.1)

The issue is with the following code:

`def fahrenheit(T):
return ((float(9)/5)T + 32)
def celsius(T):
return (float(5)/9)(T-32)

temp = [0, 22.5, 40,100]
F_temps = map(fahrenheit, temp)

When the output is enquired by taking the map entities in a list. It is empty

map(celsius, F_temps)

in order to see the elements

C_temps=map(celsius, F_temps)
l2=[i for i in C_temps]
`

W04 - Weather data frame weather_df2 is not defined any where

the code in the mean_temperatures is wrong:
0 # One Solution
1 mean_temperatures = {}
2
3 for month in range(1, 13):
4 mean_temperatures[month] = weather_df.loc[weather_df['Date/Time'].dt.month == month, 'Temp (C)'].mean()
5
6 pd.Series(mean_temperatures)

Code in line 4 should be: mean_temperatures[month] = weather_df.loc[pd.to_datetime(weather_df['Date/Time']).dt.month == month, 'Temp (C)'].mean()