Karlo Leskovar karlek10

## datetime.py
weather_data["date"] = pd.to_datetime(weather_data["date"], format="%m/%d/%Y")

## read_csv.py
weather_data = pd.read_csv("test_data.csv")
print (weather_data.head())
print (weather_data.tail())

## weather_df.py
weather_df = pd.DataFrame({"wind_speed": pd.Series(array_ws, dtype="float"),
                          "precipitation": pd.Series(array_precip, dtype="float"),
                          "temperature": pd.Series(array_temp, dtype="float")})

## df.py
array_ws = np.array([0.5, 1.2, 2.1, 1.1, 1.6, 1.8, 1.4,
                        0.6, 0.4, 0.3, 0.9, 2.5, 2.1, 2.8])
array_precip = np.array([0., 0., 5.8, 4.3, 2., 1.1, 0.,
                        0.7, 0.9, 1.3, 1.9, 6.5, 8.2, 1.8])
array_temp = np.array([11., 12.1, 12.2, 12.7, 10.8, 9.7, 13.2,
                      12.8, 12.6, 14.1, 14.8, 15.3, 14.4, 16.2])

weather_df = pd.DataFrame({"wind_speed": array_ws,
                          "precipitation": array_precip,
                          "temperature": array_temp})

## series.py
array = np.array([0.5, 1.2, 2.1, 1.1, 1.6, 1.8, 1.4,
                        0.6, 0.4, 0.3, 0.9, 2.5, 2.1, 2.8])

wind_speed_b = pd.Series(array)

## dim_.py
ones = np.ones([2,3,4,5])
ones.ndim

4

## linspace.py
range_d = np.linspace(7,12,5)
range_d

array([ 7.  ,  8.25,  9.5 , 10.75, 12.  ])

## arange_3.py
range_c = np.arange(7,12,2)
range_c

array([ 7,  9, 11])

## arange_2.py
range_b = np.arange(7.,12.)
range_b

array([ 7.,  8.,  9., 10., 11.])

## arange_1.py
range_a = np.arange(7)
range_a

array([0, 1, 2, 3, 4, 5, 6])
	weather_data = pd.read_csv("test_data.csv")
	print (weather_data.head())
	print (weather_data.tail())
	weather_df = pd.DataFrame({"wind_speed": pd.Series(array_ws, dtype="float"),
	"precipitation": pd.Series(array_precip, dtype="float"),
	"temperature": pd.Series(array_temp, dtype="float")})
	array_ws = np.array([0.5, 1.2, 2.1, 1.1, 1.6, 1.8, 1.4,
	0.6, 0.4, 0.3, 0.9, 2.5, 2.1, 2.8])
	array_precip = np.array([0., 0., 5.8, 4.3, 2., 1.1, 0.,
	0.7, 0.9, 1.3, 1.9, 6.5, 8.2, 1.8])
	array_temp = np.array([11., 12.1, 12.2, 12.7, 10.8, 9.7, 13.2,
	12.8, 12.6, 14.1, 14.8, 15.3, 14.4, 16.2])

	weather_df = pd.DataFrame({"wind_speed": array_ws,
	"precipitation": array_precip,
	"temperature": array_temp})
	array = np.array([0.5, 1.2, 2.1, 1.1, 1.6, 1.8, 1.4,
	0.6, 0.4, 0.3, 0.9, 2.5, 2.1, 2.8])

	wind_speed_b = pd.Series(array)
	range_d = np.linspace(7,12,5)
	range_d

	array([ 7. , 8.25, 9.5 , 10.75, 12. ])
	range_b = np.arange(7.,12.)
	range_b

	array([ 7., 8., 9., 10., 11.])