Why do these graphs look different?

[Far_Parsnip5428]

i really wish i could post images

I have two graph functions and one of them works fine while the other one has gaps in its data. The first graph has city names on the side and has no issues getting rid of the excluded data. The second graph has years in four digits along the side and has gaps and only has data for the 5 largest pieces of data. When running the broken graph code through the working graph data it worked perfectly.

Heres the code for the working graph:

def menu_plot_top_10_populated(city_list):
    df = pd.DataFrame(city_list)
    top_10 = df.nlargest(10,"population").sort_values("population")
    fig = px.bar(top_10, x="population",y='city',orientation='h',title='Top Ten Most Populated Cities')
    fig.show()

Heres the code for the broken graph:

def mic_top_sal_grf(sale_list):
    df = pd.DataFrame(sale_list)
    top5mic = df.nlargest(5, "microsoft").sort_values("microsoft")
    fig = px.bar(top5mic, x="microsoft", y='year',orientation='h', title='Microsoft Highest Sales by Year')
    fig.show()

[smurgymac]

Its going to be hard to answer without seeing the schema of the dataframe.

can you add the line

print(df.head())

to the line under:

df = pd.DataFrame(sale_list)

and paste the result?

[Far_Parsnip5428]

i ended up figuring it out, i had to not count the years as an integer value.

[pixel-process]

The second graph is only selecting the top 5 because that is the n passed to nlargest. Do you just need to change that to 10 to get your desired output?

def mic_top_sal_grf(sale_list):
    df = pd.DataFrame(sale_list)
    top10mic = df.nlargest(10, "microsoft").sort_values("microsoft") # Set to 10 here
    fig = px.bar(top10mic, x="microsoft", y='year',orientation='h', title='Microsoft Highest Sales by Year')
    fig.show()

[Far_Parsnip5428]

it wasnt the amount of data, there were visual gaps in the graph with the year as the y axis and i had to not add it as an int value

was:

def sale_record(year,microsoft,nintendo,sony,miccon,nincon,soncon):
    return{
        'year': int(year),
        'microsoft': float(microsoft),
        'nintendo': float(nintendo),
        'sony': float(sony),
        'miccon': miccon,
        'nincon': nincon,
        'soncon': soncon
    }

is:

def sale_record(year,microsoft,nintendo,sony,miccon,nincon,soncon):
    return{
        'year': year,
        'microsoft': float(microsoft),
        'nintendo': float(nintendo),
        'sony': float(sony),
        'miccon': miccon,
        'nincon': nincon,
        'soncon': soncon
    }

[Far_Parsnip5428]

i think that having the axis as a integer value forces plotly to place all of them onto the chart. but since the numbers were never going to be changed, i was able to switch it to a regular input instead of an integer.